Senior Artificial Intelligence & Machine Learning Engineer

About the job

Job Title: Senior Artificial Intelligence & Machine Learning Engineer Experience: 5+ years (or equivalent demonstrated expertise) Job Summary We are seeking a highly experienced Senior AI/ML Engineer with strong expertise in Artificial Intelligence, Machine Learning, and Deep Learning. The ideal candidate will have hands-on experience designing, training, fine-tuning, and deploying advanced ML models, particularly in computer vision, spatial intelligence, and geospatial applications. Key Responsibilities • Design, develop, and deploy AI/ML and Deep Learning models for real-world applications • Lead research and implementation of state-of-the-art computer vision and image understanding models • Work with vector databases and similarity search systems such as FAISS • Evaluate and integrate emerging AI models and frameworks relevant to vision, spatial intelligence, and generative AI • Fine-tune and optimize statistical, classical ML, and deep learning models for performance and scalability • Collaborate with cross-functional teams including geospatial analysts, software engineers, and domain experts • Provide technical leadership, mentorship, and architectural guidance to junior ML engineers • Translate complex business or domain problems into robust AI-driven solutions Required Technical Skills Artificial Intelligence & Machine Learning • Strong fundamentals in Artificial Intelligence, Machine Learning, and Deep Learning • In-depth knowledge of supervised, unsupervised, and semi-supervised learning • Hands-on experience with model training, fine-tuning, validation, and deployment Statistical & Classical Machine Learning • Proficiency in: • Random Forest • Support Vector Machines (SVM) • K-Nearest Neighbors (KNN) • XGBoost and other gradient boosting techniques • Ensemble learning methods • Bayesian optimization and statistical modeling concepts Deep Learning & Neural Networks • Strong experience with: • Convolutional Neural Networks (CNNs) • Long Short-Term Memory (LSTM) networks • Familiarity with deep learning frameworks such as PyTorch and/or TensorFlow Computer Vision & Image Intelligence • Strong understanding of advances in image processing, computer vision, and vision-based ML • Awareness and practical understanding of modern vision and foundation models including: • SpatialLM • MasterSLAM • DINO / DINOv2 • Segment Anything Model (SAM) • IP-Adapter • Stable Diffusion and generative vision models • Ability to assess model capabilities, limitations, and applicability to real-world problems Databases & AI Infrastructure • Experience with AI/ML databases and vector search systems, especially FAISS • Understanding of embedding-based retrieval, similarity search, and indexing strategies Domain & Industry Exposure (Preferred) • AEC (Architecture, Engineering & Construction) workflows and data • Geospatial Intelligence & Spatial Analytics • Remote sensing, drone imagery, LiDAR, GIS, or 3D spatial data (desirable) Soft Skills & Leadership • Strong analytical and problem-solving abilities • Excellent communication skills to explain complex AI concepts to technical and non-technical stakeholders • Ability to lead technical initiatives and mentor team members • Research-oriented mindset with awareness of emerging AI trends Education • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Robotics, or a related field • Equivalent industry experience with demonstrable impact will also be considered

Requirements

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Computer Vision
• Geospatial Applications

Qualifications

• 5+ years in AI/ML
• Master’s or Ph.D. in a related field

Preferred Technologies

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Computer Vision
• Geospatial Applications